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Influence of biological, experiential and psychological factors in wine preference segmentation
Author(s) -
Pickering G.J.,
Hayes J.E.
Publication year - 2017
Publication title -
australian journal of grape and wine research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.65
H-Index - 77
eISSN - 1755-0238
pISSN - 1322-7130
DOI - 10.1111/ajgw.12266
Subject(s) - wine , wine tasting , psychology , sweetness , consumption (sociology) , taste , food science , biology , social science , neuroscience , sociology
Abstract Background and Aims We sought to determine the influence of selected biological, experiential and psychological variables on self‐reported liking and consumption of wine in a sample of 329 Ontario wine consumers. Methods and Results Cluster analysis revealed three distinct groups, representing plausible market segments: wine lovers; dry table wine likers/sweet dislikers and sweet wine likers/fortified dislikers. These groups differ in level of wine expertise, wine adventurousness, alcohol intake, bitterness from 6‐ n ‐propylthiouracil (PROP) and several demographic variables. PROP hypo‐tasters ( n = 113) and PROP hyper‐tasters ( n = 112) differed in liking scores for nine of the 11 wine styles [ANCOVA, P (F) < 0.05]. When wines were grouped according to their dominant sensory properties (dry, sweet, carbonation and heat), liking scores for PROP hyper‐tasters were higher than those of PROP hypo‐tasters for all classes. Scores also varied with age, expertise and gender for some products. Effect sizes (eta‐squared) were generally greatest for age, and those for PROP responsiveness were of similar magnitude as those for gender. As expected, wine consumption frequency was higher for men and experts, and increased with age. Conclusions Age is the most robust and consistent driver of wine liking and intake of the variables examined. Taste phenotype also contributes significantly to variation in wine liking. Significance of the Study Ontario wine consumers fall into one of three wine liking clusters, which differ in experiential, biological, psychological and demographic features that can be targeted through branding and marketing strategies.